[HTML][HTML] Machine learning for medical imaging: methodological failures and recommendations for the future

G Varoquaux, V Cheplygina - NPJ digital medicine, 2022 - nature.com
Research in computer analysis of medical images bears many promises to improve patients'
health. However, a number of systematic challenges are slowing down the progress of the …

Effective use of Likert scales in visualization evaluations: A systematic review

L South, D Saffo, O Vitek, C Dunne… - Computer Graphics …, 2022 - Wiley Online Library
Likert scales are often used in visualization evaluations to produce quantitative estimates of
subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to …

[HTML][HTML] Open science saves lives: lessons from the COVID-19 pandemic

L Besançon, N Peiffer-Smadja, C Segalas… - BMC Medical Research …, 2021 - Springer
In the last decade Open Science principles have been successfully advocated for and are
being slowly adopted in different research communities. In response to the COVID-19 …

A troubling analysis of reproducibility and progress in recommender systems research

M Ferrari Dacrema, S Boglio, P Cremonesi… - ACM Transactions on …, 2021 - dl.acm.org
The design of algorithms that generate personalized ranked item lists is a central topic of
research in the field of recommender systems. In the past few years, in particular …

Challenges, experiments, and computational solutions in peer review

NB Shah - Communications of the ACM, 2022 - dl.acm.org
Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …

[HTML][HTML] Re-evaluating GPT-4's bar exam performance

E Martínez - Artificial Intelligence and Law, 2024 - Springer
Perhaps the most widely touted of GPT-4's at-launch, zero-shot capabilities has been its
reported 90th-percentile performance on the Uniform Bar Exam. This paper begins by …

Personalization improves gamification: Evidence from a mixed-methods study

L Rodrigues, PT Palomino, AM Toda… - Proceedings of the …, 2021 - dl.acm.org
Personalization of gamification is an alternative to overcome the shortcomings of the one-
size-fits-all approach, but the few empirical studies analyzing its effects do not provide …

The COVID‐19 scamdemic: A survey of phishing attacks and their countermeasures during COVID‐19

AF Al‐Qahtani, S Cresci - IET Information Security, 2022 - Wiley Online Library
The COVID‐19 pandemic coincided with an equally‐threatening scamdemic: a global
epidemic of scams and frauds. The unprecedented cybersecurity concerns emerged during …

[HTML][HTML] A systematic literature review of requirements engineering education

M Daun, AM Grubb, V Stenkova… - Requirements Engineering, 2023 - Springer
Requirements engineering (RE) has established itself as a core software engineering
discipline. It is well acknowledged that good RE leads to higher quality software and …

[HTML][HTML] Do machine learning platforms provide out-of-the-box reproducibility?

OE Gundersen, S Shamsaliei, RJ Isdahl - Future Generation Computer …, 2022 - Elsevier
Science is experiencing an ongoing reproducibility crisis. In light of this crisis, our objective
is to investigate whether machine learning platforms provide out-of-the-box reproducibility …